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2,096 results for “Tracts”
The corticospinal tract primarily modulates sensory inputs in the mouse lumbar cord (Raw data)
<p>Raw data of the eLife 2021 article</p> <p><strong>The corticospinal tract primarily modulates sensory inputs in the mouse lumbar cord.</strong></p> <p>Authors:</p> <p><strong>Yunuen Moreno-Lopez<sup>1</sup>, Charlotte Bichara<sup>1</sup>, Gilles Delbecq, Philippe Isope, Matilde Cordero-Erausquin</strong></p> <p>Methods are described in the article. Data is organized by figure.</p>
Data from: Voice efficiency for different voice qualities combining experimentally derived sound signals and numerical modeling of the vocal tract
<p>This dataset contains Stereo-Lithographic (STL) surface models of a human vocal tract, derived Finite-Element-Models, numerical results, and scripts for analyzing these results and (re-)running the computation.</p> <p> </p> <p><strong>In the main folder, this dataset contains:</strong></p> <p>1) Python files (*fig*.py) for the creation of figures and tables (*tab*.py)</p> <p>2) Python files (*.py) for analyzing Finite-Element (FE) calculations (x_resonances.py, x_libs.py, x_fem2excel.py)</p> <p>3) Python-files (*.py) for analyzing stl-data (x_analyzeSTL.py)</p> <p>4) Python files (*.py) for deriving Infinite-Impulse-Response (IIR) filter and their impulse responses (x_IIR.py)</p> <p>5) Excel files (*.xlsx) containing Volume-velocity-transfer-functions (Vlg.xlsx), Pressure-transfer-functions at the lips (Hlg.xlsx), and the glottis (Hgg.xlsx) based on FE, the sound spectra of audio signals (sound_spectra.xlsx), the polynomials describing the IIR (IIR_polynomial.xlsx) and their impulse responses (IIR_impulse_responses.xlsx), and glottal waveforms (glottal_waveform.xlsx) and spectra (glottal_spectra.xlsx)</p> <p>6) Several figures (*.pdf)</p> <p> </p> <p><strong>In folder „x_fenics/x_Subject-1“ (and sub-folders), this data set contains:</strong></p> <p>1) Surface models of the human vocal tract for different voice qualities (glottis.stl, wall.stl, lips.stl)</p> <p>2) Sub-volumes of the vocal tract cavities (*ET.stl, *HPl.stl, *HPu.stl, *OPf.stl, *OPr.stl, *SP.stl, *.VV.stl)</p> <p>3) Derived gmsh volume meshes (*.msh) (www.gmsh.info)</p> <p>3) Derived volume models applicable to FE-Solvers (*.h5, *.xdmf)</p> <p>4) Results of the FE-calculation (*pvtf*.txt, *vvtf*.txt, *pglottis*.txt)</p> <p>5) Formant frequencies computed by inverse filtering (*.for)</p> <p> </p> <p><strong>In folder „x_fenics/x_misc“ the data set contains:</strong></p> <p>1) Python-files (*.py) for (re-)running the calculations using the FE-Method</p>
Measures of urban form and mobility energy use indices for each census tract in the United States
<p>This dataset contains data on urban form (the configuration of the built environment) for each census tract in the United States, encompassing density (destination access), land use diversity (entropy), road network properties, road network capacity relative to the surrounding population, and public transit access. Metrics are measured around the centroid of each census tract in multiple given radii. The data also contain other publicly available metrics for each census tract that may be helpful, such as each tract's associated city, zipcode, and county name, area and water area, and centroid coordinates. Certain measures resemble those available in the U.S. Environmental Protection Agencies' Smart Location database or were derived from them, while others were compiled using additional data sources and the statistical model presented in the associated main article. Specifically, the data presented here contain travel energy use indices for each census tract, reflecting the estimated difference in daily land-based mobility energy use per capita relative to the baseline (the U.S. average) as a result of that environment's particular urban form. </p>
Statistics of difference product by census tracts and metropolitan statistical areas
<p>Statistics of difference product by census tracts: Statistics_by_census_tracts.shp</p> <p>Statistics of difference product by Metropolitan Statistical Areas: Statistics_by_Metropolitan_Statistical_Areas.shp</p>
Camrelizumab Combined With Apatinib and Capecitabine in Patients With Advanced Biliary Tract Cancer.
ClinicalTrials.gov study NCT04720131. IPD Sharing: UNDECIDED. Countries: 1. Publications: 17.
An Investigational Immuno-therapy Study of Nivolumab, Compared to Placebo, in Patients With Bladder or Upper Urinary Tract Cancer, Following Surgery to Remove the Cancer
ClinicalTrials.gov study NCT02632409. IPD Sharing: Not stated. Countries: 30. Publications: 6.
Study of Solifenacin Succinate and Tamsulosin Hydrochloride OCAS in Males With Lower Urinary Tract Symptoms
ClinicalTrials.gov study NCT01018511. IPD Sharing: YES. Countries: 13. Publications: 1.
Placebo-Controlled Trial of Antibiotic Therapy in Adults With Suspect Lower Respiratory Tract Infection (LRTI) and a Procalcitonin Level
ClinicalTrials.gov study NCT03341273. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Study of Nivolumab in Patients With Advanced Refractory Biliary Tract Cancers
ClinicalTrials.gov study NCT02829918. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Pembrolizumab, a Monoclonal Antibody Against PD-1, in Combination With Capecitabine and Oxaliplatin (CAPOX) in People With Advanced Biliary Tract Carcinoma (BTC)
ClinicalTrials.gov study NCT03111732. IPD Sharing: NO. Countries: 1. Publications: 4.
Infigratinib Before Surgery for the Treatment of Upper Tract Urothelial Cancer
ClinicalTrials.gov study NCT04228042. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Safety, Pharmacokinetics, Pharmacodynamics, and Preliminary Efficacy Trial of BNT141 in Patients With Unresectable or Metastatic CLDN18.2-positive Gastric, Pancreatic, Ovarian and Biliary Tract Tumors
ClinicalTrials.gov study NCT04683939. IPD Sharing: NO. Countries: 2. Publications: 1.
Gemcitabine, Oxaliplatin in Combination With Bevacizumab in Biliary Tract and Gallbladder Cancer
ClinicalTrials.gov study NCT00361231. IPD Sharing: NO. Countries: 1. Publications: 2.
A Biochip for Rapid Diagnosis of Complicated Urinary Tract Infection
ClinicalTrials.gov study NCT00591240. IPD Sharing: NO. Countries: 1. Publications: 2.
A Study of Ramucirumab (LY3009806) or Merestinib (LY2801653) in Advanced or Metastatic Biliary Tract Cancer
ClinicalTrials.gov study NCT02711553. IPD Sharing: YES. Countries: 18. Publications: 1.
Status of Disease Burden of Lower Urinary Tract Symptoms in Chinese Male Community
ClinicalTrials.gov study NCT06352736. IPD Sharing: NO. Countries: 1. Publications: 6.
A Study to Evaluate Efficacy and Safety of Gepotidacin in the Treatment of Uncomplicated Urinary Tract Infection (UTI)
ClinicalTrials.gov study NCT04020341. IPD Sharing: YES. Countries: 12. Publications: 8.
Study Comparing the Safety and Efficacy of Intravenous CXA-201 and Intravenous Levofloxacin in Complicated Urinary Tract Infection, Including Pyelonephritis
ClinicalTrials.gov study NCT01345929. IPD Sharing: YES. Countries: 17. Publications: 6.
Trifluridine/Tipiracil and Irinotecan for the Treatment of Advanced Refractory Biliary Tract Cancer
ClinicalTrials.gov study NCT04072445. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Nitrofurantoin Administration for the Prevention of Short-Term Catheter Associated Urinary Tract Infection After Pelvic Surgery
ClinicalTrials.gov study NCT03287089. IPD Sharing: NO. Countries: 1. Publications: 21.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.